31. 5. 2011
S-032: Neurobiology of mood disorders and schizophrenia
Tuesday, May 31, 2011, 11:00 - 12:30, Club E
Authors:
Cyril Höschl
Charles University
Psychiatric Center Prague
Co-Authors: Martin Bareš, Martin Brunovský,Miloslav Kopeček,Tomáš Novák, Jiří Kožený
Objective:
Prediction of the therapeutic outcome is one of the big challenges in medicine including psychiatry. Due to long-lasting onset of action of antidepressants (1-3 weeks), early prediction of a therapeutic outcome could save time, money and unnecessary suffering. Previous studies of patients with unipolar depression have shown that early decreases of EEG cordance can predict clinical response. We examined whether this early QEEG parameter decrease represents a phenomenon associated with response to treatment with different antidepressants in patients with treatment resistant depression.
Method:
QEEG data and response to treatment were monitored at baseline and after 1 and 4 weeks on an antidepressant treatment in inpatients with treatment resistant depression. QEEG cordance was computed at three frontal electrodes in theta frequency band. The prefrontal cordance combines complementary information from absolute and relative power of EEG spectra. Recent studies have shown that cordance might correlate with cortical perfusion reflecting to some extent regional activity of anterior cingulate. Depressive symptoms were assessed using Montgomery–Asberg Depression Rating Scale (MADRS).
Results:
Almost all responders showed decreases in prefrontal cordance after the first week of treatment. Only few of the non-responders showed early prefrontal cordance decrease. The decreases of prefrontal QEEG cordance after week 1 in responders as well as the increases in non-responders were both statistically significant and the changes of prefrontal cordance values were different between both groups.
Conclusion:
Decrease in prefrontal cordance in theta band may indicate early changes of prefrontal activity in responders to antidepressants. QEEG cordance thus may become a useful tool in the early prediction of response to antidepressants.(Updated data will be included into the presentation and exact values [N; p; NPV; PPV] will be presented).